Artificial Intelligence (AI) holds significant promise for advancing food security, bolstering climate resilience, and increasing agricultural productivity. However, without critical scrutiny, the design and deployment of AI systems risk reinforcing—and even deepening—pre-existing social inequalities. This chapter interrogates the gendered dimensions of AI in agriculture through a feminist theoretical lens, drawing on Judith Butler’s theory of performativity, Sandra Harding’s standpoint epistemology, and Donna Haraway’s critique of technoscience. Situated within the framework of Feminist Science and Technology Studies (FSTS), this analysis reveals how ostensibly neutral algorithms can reproduce gendered power dynamics and exacerbate the marginalization of women in agrarian contexts. To mitigate these harms, we advocate the co-creation of “algorithmic equity”—AI systems explicitly grounded in the principles of gender justice, participatory design, and epistemic inclusion.